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These functions can be used for generating random MIC values and disk diffusion diameters, for AMR data analysis practice. By providing a microorganism and antimicrobial agent, the generated results will reflect reality as much as possible.

Usage

random_mic(size = NULL, mo = NULL, ab = NULL, ...)

random_disk(size = NULL, mo = NULL, ab = NULL, ...)

random_rsi(size = NULL, prob_RSI = c(0.33, 0.33, 0.33), ...)

Arguments

size

desired size of the returned vector. If used in a data.frame call or dplyr verb, will get the current (group) size if left blank.

mo

any character that can be coerced to a valid microorganism code with as.mo()

ab

any character that can be coerced to a valid antimicrobial agent code with as.ab()

...

ignored, only in place to allow future extensions

prob_RSI

a vector of length 3: the probabilities for "R" (1st value), "S" (2nd value) and "I" (3rd value)

Value

class mic for random_mic() (see as.mic()) and class disk for random_disk() (see as.disk())

Details

The base R function sample() is used for generating values.

Generated values are based on the EUCAST 2022 guideline as implemented in the rsi_translation data set. To create specific generated values per bug or drug, set the mo and/or ab argument.

Examples

random_mic(25)
#> Class 'mic'
#>  [1] 0.0625 64     >=256  32     32     128    0.01   32     2      32    
#> [11] 0.002  >=256  128    0.5    0.5    128    1      0.25   16     64    
#> [21] 16     0.125  8      64     0.01  
random_disk(25)
#> Class 'disk'
#>  [1]  7 49 39 44 46  6 28 50 31 38 13 26 49 49 16 23 22 43 44 26 45 38 46 50 41
random_rsi(25)
#> Class 'rsi'
#>  [1] S S I S S S S I S R I I S I R S I I S S S I S R I

# \donttest{
# make the random generation more realistic by setting a bug and/or drug:
random_mic(25, "Klebsiella pneumoniae") # range 0.0625-64
#> Class 'mic'
#>  [1] 4       0.025   0.25    0.5     8       0.5     2       0.025   1      
#> [10] 0.002   <=0.001 0.0625  0.125   0.005   4       16      <=0.001 <=0.001
#> [19] 0.5     0.01    64      0.025   8       0.5     16     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=16 >=16 8    4    1    4    0.5  1    1    0.5  4    4    >=16 2    1   
#> [16] 0.5  >=16 0.5  4    1    2    4    4    1    >=16
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1       1       1       <=0.125 1       0.25    >=16    1       <=0.125
#> [10] 4       <=0.125 >=16    8       8       0.25    8       0.25    2      
#> [19] 0.5     <=0.125 0.25    2       0.25    4       1      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 46 29 40 23 36 28 16 26 47 44 26 47 47 42 47 47 13 25 47 42 43 38 44 50 31
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 16 17 11 16 15 16 13 15 15 12 13 17 16 11 12 13 11 14 13 12 16 12 17 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 26 15 16 18 21 20 23 24 19 20 20 27 24 16 24 19 19 18 16 25 24 22 21 22
# }